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As AI's capabilities increasingly blur the lines between human originality and machine-generated derivatives, traditional copyright frameworks appear increasingly antiquated. The once-clear demarcations of ownership, originality, and rights are now mired in ambiguity. How might we rewrite today's copyright regulations to enable a future that respects both human ingenuity and the undeniable contributions of generative AI models? Continue Reading →

Does generative AI pose a threat to the rich tapestry of human expression? Are we on an inevitable path toward digital monoculturalism? This essay was written in the fall of 2016. Considering how quickly generative AI content creation tools and copilots are being woven into the fabric of our lives, now would be a very good time to start thinking about what our human-created cultures truly mean to us. Continue Reading →

IMAGE: Vintage American anti-capitalist poster, circa 1938. Source: r/antiwork A few years ago, I received an invitation to walk in the Labor Day Parade. It got me thinking about labor law as an alternative path to meaningful data privacy regulation. Today, as we begin to think hard about how to approach AI regulation, I started Continue Reading →

A prevailing misconception suggests that generative AI platforms, such as ChatGPT, possess an almost mystical ability to provide answers to intricate business queries. "How can I sell more widgets in Wyoming?" seems like a simple question, but without the right data, even the most advanced AI systems won't help you. At the heart of this misconception is an overestimation of AI's capabilities. While generative AI is undeniably powerful, it cannot conjure insights from thin air. The adage "Garbage in, garbage out" remains as relevant as ever. In the context of AI, this translates to "You can't analyze data you don't have." Continue Reading →

A federal judge recently upheld a decision by the US Copyright Office denying a copyright registration for an artwork created solely by artificial intelligence. This ruling brings up important questions about the applicability of copyright law to creative works generated by AI systems without direct human involvement. Continue Reading →

Meta AI has introduced AudioCraft, a text-to-music AI model that does an impressive job of composing, arranging, orchestrating, and playing in a wide range of musical styles. Not only can it create or mimic a melody, but it also engineers and produces fully finished work, some of which is already suitable for commercial use – and this is only V1. Imagine where the state-of-the-art will be a year from now. Continue Reading →

Can you name the three most famous Impressionist artists? Or describe the color palette and techniques that define Color Field Painting or Naive Art? Your ability to answer these questions will have a big impact on your experience with text-to-image generators like Midjourney. But what if you haven’t been to art school or spent years studying art history? Continue Reading →

Meta, the company formerly known as Facebook, has open-sourced LLAMA 2, its advanced AI model. Zuck might be onto something here. Let's explore what LLAMA 2 brings to the table, its potential applications, and the implications of this open-source move for the AI community at large. Continue Reading →

For the past several years I've been publishing various versions of the "11 Hottest Tech Trends of 1776." This year, I thought it would be fun to ask ChatGPT for some help. So I asked it to read the previous versions of the article and if it could "think of any other technological advancements between 1750 and 1800 that would be a good addition to this story." It could and it did. So here, for your Independence Day reading pleasure, are the 18 hottest tech trends circa 1776. Continue Reading →

Welcome to the brave new world of generative AI, where the machines are no longer just number crunchers, they’re word crunchers, image crunchers, audio and video crunchers. But here’s the catch: If we’re to ride the wave of this technological revolution, we need to rethink not just the tools we use, but also how we use them. Continue Reading →